Engineering & Maintenance Intern

Corteva Agriscience; Elche; Presencial; EUR 7800 - 12.000; A tiempo parcial

Descripción de la vacante

Corteva Agriscience is seeking an Engineering & Maintenance Intern to support the digitalization and structuring of our maintenance activities. You will help build a solid CMMS foundation and ensure data generation supports data-driven maintenance practices.

The role involves asset hierarchy, preventive maintenance planning, data cleansing in the GMAO, KPI development and basic dashboards. You will collaborate with maintenance, engineering and IT, gaining hands-on experience at the intersection

Formación

• Advanced Excel and data analytics foundations are required.
• Experience with Power BI or similar dashboards is desirable.
• Interest in AI, data analytics or automation in industrial use cases.

Responsabilidades

• Support digitalization and structuring of preventive maintenance plans.
• Assist with data cleansing and configuration within the GMAO.
• Contribute to KPI development and basic dashboards for monitoring.
• Participate in data analytics and AI initiatives for maintenance tasks.
• Help create technical documentation and digital procedures.

Conocimientos

Excel

Power BI

Python

English level

Data analytics

Educación

Engineering degree (Bachelors/Masters)

Herramientas

GMAO

Descripción del empleo

We are looking for an Engineering & Maintenance Intern to support the digitalization and structuring of our maintenance activities. This internship offers a unique opportunity to contribute to the creation of a solid CMMS (Computerized Maintenance Management System) foundation, enabling consistent data generation while supporting the transition towards more data‑driven and efficient maintenance practices.

The intern will play a key role in building asset structures, preventive maintenance plans and usage discipline within the CMMS, allowing the core team to remain focused on operational and compliance‑critical activities. This is a low‑risk, high‑impact opportunity to gain hands‑on experience at the intersection of engineering, maintenance, digitalization and data analytics, fully aligned with Corteva’s operational excellence and digital transformation objectives.

Key Responsibilities

• Support the digitalization and structuring of the preventive maintenance plan, including asset hierarchy, task lists and maintenance frequencies.
• Assist with data cleansing, standardization and configuration within the GMAO, covering equipment, locations, work orders and spare parts.
• Support the development of maintenance KPIs and basic dashboards for performance monitoring and reporting.
• Participate in initiatives applying data analytics and Artificial Intelligence to maintenance activities, such as predictive analysis, incident classification and automation of administrative tasks.
• Contribute to the creation and update of technical documentation, digital procedures and standards.
• Collaborate with Maintenance, Engineering, EHS and technology providers, promoting safe, reliable and efficient operations.

Qualifications

• Currently enrolled in a Bachelor’s or Master’s degree in Engineering (Industrial, Mechanical, Electrical, Electronics, Mechatronics, Chemical or similar).
• Ability to enter into an internship agreement with a university or educational institution.
• Interest and foundational knowledge in Artificial Intelligence, data analytics or automation applied to industrial use cases.
• Basic knowledge of: Data analysis tools (advanced Excel, Power BI, Python or similar). Fundamental AI / Machine Learning concepts (predictive models, trend analysis, classification).
• Proficient in standard office productivity tools.
• Advance English level.

Core competencies

• Digital mindset with strong data orientation.
• Analytical thinking and structured problem‑solving skills.
• Proactive attitude and willingness to learn in an industrial environment.
• Strong teamwork and communication skills.
• Commitment to Safety, Quality and Continuous Improvement.

Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.